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I am aware of OWLIM and AllegroGraph as two triple stores that are able to generate inferred triples and put them back into the dataset. Do you know others?

Bonus question: on what subset of RDFS or OWL do they do that?

Super bonus question: what do they do with the inferred triples exactly? E.g., put everything back in the same big graph? Put the inferred triples in a named graph? ...in multiple named graphs depending on the rule triggered? ...depending on the antecedent triples used by the rule?

asked 07 Dec '12, 10:18

Antoine%20Zimmermann's gravatar image

Antoine Zimm... ♦
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Jena does, using the rule engine (in forward mode, it's RETE but it has a backward mode as well : these can be combined where forwards rules generate backwards rules).

An inference graph a union of base data and the inferred triples. This is independent of named graphs or SPARQL.

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answered 07 Dec '12, 19:09

AndyS's gravatar image

AndyS ♦
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accept rate: 33%

Sesame provides a forward chaining inferencer for the full RDFS closure (except, of course, the infinite set of axioms that assert rdf:_1, ... rdf:_n to be of type rdfs:ContainerMembershipProperty - it infers these as needed/used by the dataset). Currently, it operates over all graphs in the repository and inserts inferred triples into the 'null context' of the repository.

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answered 10 Dec '12, 01:40

Jeen%20Broekstra's gravatar image

Jeen Broekstra ♦
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accept rate: 37%

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question asked: 07 Dec '12, 10:18

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last updated: 10 Dec '12, 01:40